Effect of daily average temperature on years of life lost due to non-accidental mortality and cardiovascular and cerebrovascular diseases in seven mortality surveillance sites in X... by Xixi DENG, Peihua LIAO, Yi ZHANG, Tie WANG, Wei ZHE

“…A distributed lag non-linear model (DLNM) was used to quantitatively analyze the impact of daily average temperature on residents' YLL and the lag effect. …”
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Adaptive high-resolution mapping of air pollution with a novel implicit 3D representation approach by Ting Zhang, Bo Zheng, Ruqi Huang

“…Artificial intelligence holds great promise for tackling these challenges, yet its application in air pollution monitoring remains nascent, facing limited transferability regarding low-quality labeled and non-uniform spread data. …”
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HOUSEHOLD DEBT AND INTEREST RATES: A CASE STUDY OF SOUTH AFRICA by Kgomotso Molefe, Ashley Mutezo

“…A quantitative approach was followed by econometric analysis of the data. The study employed the autoregressive distributive lag and vector error correction model to analyse the time-series data for the period from 1990 to 2019. …”
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Dynamic Evaluation of Urban Sustainability Based on ELECTRE: A Case Study from China by Huimin Li, Xin Huang, Qing Xia, Zanmei Jiang, Chenchen Xu, Xiang Gu, Hui Long

“…The model applies three-dimensional data to explore the dynamics of sustainable urban development. …”
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Comparative Analysis of Explainable AI Methods for Manufacturing Defect Prediction: A Mathematical Perspective by Gabriel Marín Díaz

“…Using a dataset based on empirical industrial distributions, we train an XGBoost model to classify high- and low-defect scenarios from multidimensional production and quality metrics. …”
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Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…Capillary pressure plays a crucial role in determining the spatial distribution of oil and gas, particularly in medium-to-low permeability reservoirs, where it is closely linked to the rock's pore structure and wettability. …”
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Response of Ecological Profit and Loss to Land Use Change in the Agro-pastoral Ecotone in Northeast China by LÜ Hongyu, ZHOU Min

“…［Methods］ Based on the land use data of Chaoyang in 2000, 2010 and 2020, the Markov-PLUS model and ecological footprint model were used to analyze and predict the evolution characteristics of land use structure and ecological profit and loss of Chaoyang under four scenarios from 2000 to 2030. …”
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Spatial heterogeneity and risk maps of community infestation by Triatoma infestans in rural northwestern Argentina. by Gonzalo M Vazquez-Prokopec, Cynthia Spillmann, Mario Zaidenberg, Ricardo E Gürtler, Uriel Kitron

“…Clusters of high domestic infestation occurred in the southwestern extreme of the district. A multi-model selection approach showed that domestic infestation clustered in areas of low elevation, with few farmlands, high density of rural houses, high mean maximum land surface temperature, large NDVI, and high percentage of degraded and deforested lands. …”
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Detection of Factors Affecting Rainfall Intensity in Jakarta by Bagus Sumargo, Dian Handayani, Alvi Pauziah Lubis, Irman Firmasyah, Ika Yuni Wulansari

“…In modeling with quantile regression using six quantiles 0.25, 0.50, 0.75, 0.95, 0.99, and 0.9999 with consideration of these quantile values representing all parts of the data distribution including extreme values, it was found that the factors affecting rainfall intensity in Jakarta are different in each rainfall intensity condition. …”
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Effectiveness of the protected area for the plant species diversity conservation under the changing climate by Jioie Muriel Aquino dela Vega, Motoki Higa, Yasuhiro Kubota, Katsuhiro Nakao

“…The study considered 2260 native temperate plant species and used climate data from the WorldClim database, incorporating 12 general circulation models (GCMs) and four shared socioeconomic pathways (SSPs). …”
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Node Classification Based on Kolmogorov-Arnold Networks by YUAN Lining, FENG Wengang, LIU Zhao

“…Secondly, the KAN layers extract the latent features from the input data. Thirdly, G-KAN maps the output to a probability distribution of labels using a linear layer and a Softmax function. …”
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A Geometric Semantic Enhanced TomoSAR Reconstruction Algorithm in an Urban Area: Analysis and Application by Chunyi Wang, Qiancheng Yan, Xiaolan Qiu, Yitong Luo, Lingxiao Peng, Zhe Zhang

“…As a result, our method successfully produced a dense and realistic 3D scattering model for urban areas with minimal postprocessing, preserving detailed geometric structures and retaining over 80% of the points in the final model.…”
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MGASM-Net: morphology-guided multi-task learning network with anatomic spatial mamba for 3D airway segmentation by Yi Xu, Huamin Yang, Zhengang Jiang, Weili Shi, Yu Miao, Guanyuan Feng, Yuqin Li

“…Specifically, to tackle class imbalance, the anatomical spatial mamba module is designed to capture local and global features within and between slices, which can effectively detect the bronchi with varying diameters across the sparse airway distribution. Meanwhile, given the severe inter-class imbalance that impedes data-driven models from learning airway features, a skeleton point-based data sampling strategy is proposed to localize the specific airway regions. …”
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Study of Shale Gas Source Rock S-Wave Structure Characteristics via Dense Array Ambient Noise Tomography in Zhangjiakou, China by Si Chen, Zhanwu Lu, Haiyan Wang, Qingyu Wu, Wei Cai, Guowei Wu, Guangwen Wang

“…Integration of the velocity model with regional geological data facilitated a comprehensive interpretation and structural analysis of the prospective shale gas zone. …”
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Geographic Routing Scheme for Resource and Communication Efficiency in the IoT Ecosystem using Swarm-Intelligence based BFO Algorithm by Shreyas J, Chethana Reddy, Dharamendra Chouhan, P. K. Udayaprasad, N. N. Srinidhi, S. M. Dilipkumar

“…Wireless sensor networks (WSNs) are the sensor nodes that are generally interconnected and these nodes communicate wirelessly to collect the data from the environment around them. Sensor nodes are low-powered and distributed in a decentralized ADHOC manner. …”
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IMPROVING ACCURACY OF PREDICTION INTERVALS OF HOUSEHOLD INCOME USING QUANTILE REGRESSION FOREST AND SELECTION OF EXPLANATORY VARIABLES by Asrirawan Asrirawan, Khairil Anwar Notodiputro, Bagus Sartono

“…The selection of explanatory variables in quantile regression forest is investigated and addressed in this paper, using several selection scenarios that consist of the full model, forward selection, LASSO, ridge regression, and random forest to improve the accuracy of household income data prediction. …”
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Machine learning approaches to dissect hybrid and vaccine-induced immunity by Giorgio Montesi, Simone Costagli, Simone Lucchesi, Jacopo Polvere, Fabio Fiorino, Gabiria Pastore, Margherita Sambo, Mario Tumbarello, Massimiliano Fabbiani, Francesca Montagnani, Donata Medaglini, Elena Pettini, Annalisa Ciabattini

“…Results Using dimensionality reduction and unsupervised clustering, participants are grouped into high- and low-responders, with infected participants mainly distributed within the high-responders. …”
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Spatiotemporal heterogeneity and its influencing factors: a perspective on the carbon emissions in China’s beef cattle industry by Yumeng Sun, Mingli Wang

“…Based on panel data from 31 provinces in China covering the beef cattle industry from 2009 to 2022, this paper constructs a framework for carbon emission measurement and systematically analyzes the spatial and temporal evolution of carbon emissions, the spatial agglomeration effect, and its driving factors in the beef cattle industry using life cycle assessment, Kernel density estimation, Moran’s index, and the spatial Durbin model. …”
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Viscous Flow and Dynamic Stall Effects on Vertical-Axis Wind Turbines by A. Allet, I. Paraschivoiu

“…Predictions of the viscous model are compared with both experimental data and results from the CARDAAV aerodynamic code based on the Double-Multiple Streamtube Model. …”
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Evaluating the impact of watershed management on surface soil moisture in the Kulfo watershed, Ethiopia by Aklilu Assefa Tilahun, Wondafrash Atnafu Zewde, Bizuayehu Abera Ersuncho

“…This study used remotely sensed data (Landsat images) to construct and apply the soil moisture index (SMI) model. …”
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